SlipBox connects the agent to a hosted semantic knowledge engine and a PrivateBox Git-backed notes repository. It lets the agent add atomic notes, read existing notes, compute and refresh similarity links, run clustering passes to identify themes, and detect conceptual tensions across notes. The skill exposes concise API calls for add-note, link-pass, cluster-pass, tension-pass, and theme-data so an agent can capture ideas, synthesize cluster meta-notes, and programmatically explore a personal knowledge graph.
Use SlipBox when you want the agent to persist atomic ideas to a Zettelkasten-style store, search and synthesize existing notes, or run analytic passes after bulk imports. It's ideal for workflows that need explicit provenance (notes committed to a PrivateBox repo) and for agents that must create meta-notes summarizing cluster themes or detect contradictions for research. Always run the supplied setup check to ensure SLIPBOX_API_KEY, SLIPBOX_URL, and SLIPBOX_PRIVATEBOX_REPO are configured before proceeding.
Works with agents that can call HTTP APIs and run shell commands (agents with terminal/gh access). Practical compatibility: Claude Code, Copilot-style agents, and any agent with shell/HTTP tools.
SlipBox is a Zettelkasten-style semantic knowledge engine skill that integrates with an external SlipBox API service and a GitHub-hosted PrivateBox repo for notes. The SKILL.md is well-structured with thorough API reference, clear error handling instructions (stop-on-failure pattern), and documented workflows for capturing ideas, browsing notes, and running semantic analysis passes (link, cluster, tension). No bundled scripts — all operations use curl and gh CLI commands. Setup requires three env vars (SLIPBOX_API_KEY, SLIPBOX_URL, SLIPBOX_PRIVATEBOX_REPO) plus a running SlipBox service instance.
Clean skill with no security concerns. Setup check echoes first 6 chars of API key for debugging — minor info leak risk but acceptable. No destructive operations. All network calls go to user-configured endpoint. Niche audience — primarily knowledge workers using Zettelkasten method.